Instructions to use elyanlabs/mlx-power8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use elyanlabs/mlx-power8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download elyanlabs/mlx-power8 --local-dir mlx-power8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 518 Bytes
dda529b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | // MLX SIMD Type Selection for Linux
// Copyright © 2025 Elyan Labs - Multi-architecture support
#pragma once
#include "mlx/backend/cpu/simd/base_simd.h"
// x86_64 with AVX
#if defined(__x86_64__) && defined(__AVX__)
#include "mlx/backend/cpu/simd/avx_simd.h"
#endif
// POWER8/9 with VSX
#if defined(__powerpc64__) && defined(__VSX__)
#include "mlx/backend/cpu/simd/vsx_simd.h"
#endif
// ARM64 with NEON (already in upstream)
#if defined(__aarch64__)
// Use upstream neon_fp16_simd.h or accelerate_simd.h
#endif
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